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5757 Publications


2021 | Conference Paper | IST-REx-ID: 10041 | OA
Kamath Hosdurg C, Klein K, Pietrzak KZ, Wichs D. 2021. Limits on the Adaptive Security of Yao’s Garbling. 41st Annual International Cryptology Conference, Part II . CRYPTO: Annual International Cryptology Conference, LCNS, vol. 12826, 486–515.
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 

2021 | Conference Paper | IST-REx-ID: 10049 | OA
Klein K, Pascual Perez G, Walter M, Kamath Hosdurg C, Capretto M, Cueto Noval M, Markov I, Yeo MX, Alwen JF, Pietrzak KZ. 2021. Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement. 2021 IEEE Symposium on Security and Privacy . SP: Symposium on Security and Privacy, 268–284.
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2021 | Conference Paper | IST-REx-ID: 10044 | OA
Kamath Hosdurg C, Klein K, Pietrzak KZ. 2021. On treewidth, separators and Yao’s garbling. 19th Theory of Cryptography Conference 2021. TCC: Theory of Cryptography Conference, 2021/926.
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2021 | Thesis | IST-REx-ID: 10422 | OA
Piankov A. 2021. Towards designer materials using customizable particle shape. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 

2021 | Preprint | IST-REx-ID: 10803 | OA
Konstantinov NH, Lampert C. Fairness through regularization for learning to rank. arXiv, 2102.05996.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Preprint | IST-REx-ID: 10762 | OA
Rzadkowski W, Lemeshko M, Mentink JH. Artificial neural network states for non-additive systems. arXiv, 10.48550/arXiv.2105.15193.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Thesis | IST-REx-ID: 9418 | OA
Phuong M. 2021. Underspecification in deep learning. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 

2021 | Conference Paper | IST-REx-ID: 14177 | OA
Träuble F, Creager E, Kilbertus N, Locatello F, Dittadi A, Goyal A, Schölkopf B, Bauer S. 2021. On disentangled representations learned from correlated data. Proceedings of the 38th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 139, 10401–10412.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 14176 | OA
Yèche H, Dresdner G, Locatello F, Hüser M, Rätsch G. 2021. Neighborhood contrastive learning applied to online patient monitoring. Proceedings of 38th International Conference on Machine Learning. International Conference on Machine Learning, PMLR, vol. 139, 11964–11974.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 14182 | OA
Träuble F, Kügelgen J von, Kleindessner M, Locatello F, Schölkopf B, Gehler P. 2021. Backward-compatible prediction updates: A probabilistic approach. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 116–128.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 14181 | OA
Dresdner G, Shekhar S, Pedregosa F, Locatello F, Rätsch G. 2021. Boosting variational inference with locally adaptive step-sizes. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. IJCAI: International Joint Conference on Artificial Intelligence, 2337–2343.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 14179 | OA
Kügelgen J von, Sharma Y, Gresele L, Brendel W, Schölkopf B, Besserve M, Locatello F. 2021. Self-supervised learning with data augmentations provably isolates content from style. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 16451–16467.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 14180 | OA
Rahaman N, Gondal MW, Joshi S, Gehler P, Bengio Y, Locatello F, Schölkopf B. 2021. Dynamic inference with neural interpreters. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 10985–10998.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Journal Article | IST-REx-ID: 14117 | OA
Scholkopf B, Locatello F, Bauer S, Ke NR, Kalchbrenner N, Goyal A, Bengio Y. 2021. Toward causal representation learning. Proceedings of the IEEE. 109(5), 612–634.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2021 | Conference Paper | IST-REx-ID: 14178 | OA
Dittadi A, Träuble F, Locatello F, Wüthrich M, Agrawal V, Winther O, Bauer S, Schölkopf B. 2021. On the transfer of disentangled representations in realistic settings. The Ninth International Conference on Learning Representations. ICLR: International Conference on Learning Representations.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Preprint | IST-REx-ID: 14221 | OA
Locatello F. Enforcing and discovering structure in machine learning. arXiv, 2111.13693.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Preprint | IST-REx-ID: 14278 | OA
Koval I. Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse. arXiv, 2111.12171.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Thesis | IST-REx-ID: 10199 | OA
Toman V. 2021. Improved verification techniques for concurrent systems. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 

2021 | Journal Article | IST-REx-ID: 8429 | OA
Patxot M, Trejo Banos D, Kousathanas A, Orliac EJ, Ojavee SE, Moser G, Sidorenko J, Kutalik Z, Magi R, Visscher PM, Ronnegard L, Robinson MR. 2021. Probabilistic inference of the genetic architecture underlying functional enrichment of complex traits. Nature Communications. 12(1), 6972.
[Published Version] View | Files available | DOI | WoS
 

2021 | Conference Paper | IST-REx-ID: 10854 | OA
Foerster K-T, Korhonen J, Paz A, Rybicki J, Schmid S. 2021. Input-dynamic distributed algorithms for communication networks. Abstract Proceedings of the 2021 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems. SIGMETRICS: International Conference on Measurement and Modeling of Computer Systems, 71–72.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

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